川南6市空气中SO_2和NO_2空间分布特征  

Study of NO_2 and SO_2 Spatial Distribution Characteristics in the Air of Six-City District of Southern Sichuan

作　　者：谢永洪[1] 杨坪[1] 向秋实[1] 钱蜀 姚欢[1] 张涛[1] 

机构地区：[1]四川省环境监测中心站,四川成都610041

出　　处：《中国环境监测》2014年第2期138-144,共7页Environmental Monitoring in China

摘　　要：利用简单、方便、不用电源的被动采样技术分别对川南地区6市区域范围内空气中SO2和NO2在雨季和旱季的空间分布特征进行研究。按16 km×16 km的均匀网格布设点位162个,并在雨季于6市各选1个空气自动站布设城区点位采集空气中SO2和NO2。获得的样品经0.3%的双氧水浸提后采用离子色谱法进行分析,经换算后获得空气中SO2和NO2的浓度,了解了其含量水平,绘制了SO2和NO2的空间分布图,掌握了其空间分布特征,并对可能的来源进行了浅析。将被动采样监测结果与自动站监测结果进行相关分析,两者高度线性相关,NO2和SO2线性相关系数分别为0.901 3和0.874 5,均大于r0.05(4)=0.811 4。A simple, handy and power free technology of passive sampling was employed for the study of SO2 and NOs spatial distribution characteristics in the months of dry- and wet-season in the six-city district of Southern Sichuan. 162 sites of ambient air were placed by 16km by 16km gird and 6 sites of city air placed at air automatic monitoring station in September. The samples were analyzed by ion chromatography after being extracted with 0. 3% H2O2. The concentrations of SOs and NOs in air were obtained after calculation. The concentration levels of SO2 and NOs of the investigation area was acquainted and the spatial distribution characteristics were obtained. Then the possible sources were discussed, and the linear correlation analysis was discussed, the result showed that the two groups of detective data of passive sampling and automatic monitoring had well correlation, the Linear correlation coefficients were more than r0.05（4） （0. 811 4） with 0. 901 3 for NOs and 0. 874 5 for SO2.

关 键 词：被动采样技术 SO2 NO2 空间分布特征 

分 类 号：X831[环境科学与工程—环境工程]